Papers
68
Total Citations
1,496
H-Index
20
About
Dilip Kumar Pratihar is a distinguished researcher whose work sits at the intersection of robotics, artificial intelligence, and soft computing. Over more than two decades, he has made foundational contributions to autonomous robot navigation, legged locomotion, and multi-robot coordination, establishing himself as a leading figure in intelligent robotics systems. Pratihar's early and highly influential work introduced genetic-fuzzy frameworks for mobile robot navigation among moving obstacles, a paper that has garnered over 133 citations and helped define the field's methodological landscape. He extended these approaches to car-like mobile robots using neuro-fuzzy techniques and developed GA-fuzzy systems for simultaneous path and gait optimization in six-legged robots. His sustained investigation into hexapod locomotion — encompassing kinematics, dynamics, stability, turning gaits, and energy consumption — represents a comprehensive body of work that continues to inform bio-inspired robotics design, collectively accumulating hundreds of citations. His 2016 study on centralized multi-robot task allocation for industrial plant inspection, with 168 citations, reflects his ability to bridge theoretical innovation with real-world application. Spanning biped gait planning on sloping surfaces to collision-free industrial automation, Pratihar's research demonstrates remarkable breadth, depth, and enduring relevance to both academic researchers and practicing engineers.
Research Focus
Key Achievements
Top Papers
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- 2A genetic-fuzzy approach for mobile robot navigation among moving obstacles133 citations · 1999
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